Echocardiographic calcification score in patients with low/intermediate cardiovascular risk

Aortic Valve Calcium Score: Applications in Clinical Practice and Scientific Research-A Narrative Review

In this narrative review, we investigate the essential role played by the computed tomography Aortic Valve Calcium Score (AVCS) in the cardiovascular diagnostic landscape, with a special focus on its implications for clinical practice and scientific research. Calcific aortic valve stenosis is the most prevalent type of aortic stenosis (AS) in industrialized countries, and due to the aging population, its prevalence is increasing. While transthoracic echocardiography (TTE) remains the gold standard, AVCS stands out as an essential complementary tool in evaluating patients with AS. The advantage of AVCS is its independence from flow; this allows for a more precise evaluation of patients with discordant findings in TTE. Further clinical applications of AVCS include in the assessment of patients before transcatheter aortic valve replacement (TAVR), as it helps in predicting outcomes and provides prognostic information post-TAVR. Additionally, we describe different AVCS thresholds regarding gender and the anatomical variations of the aortic valve. Finally, we discuss various scientific studies where AVCS was applied. As AVCS has some limitations, due to the pathophysiologies of AS extending beyond calcification and gender differences, scientists strive to validate contrast-enhanced AVCS. Furthermore, research on developing radiation-free methods of measuring calcium content is ongoing.

The Relationship Between Echocardiographic Calcification Score and Grade of Knee Osteoarthritis

Background and objective It has been suggested that knee osteoarthritis (KOA) is associated with the development of calcification and an increased risk of cardiovascular (CV) disease, while the contribution of KOA grade is not clearly known enough. This study aimed to investigate the relationship between the grade of KOA, the echocardiographic calcification score (echo-CCS), and CV risk assessment. Methods This cross-sectional study involved 204 patients diagnosed with KOA and classified according to the Kellgren-Lawrence staging criteria. Echo-CCS was obtained according to the presence of calcification in the aortic valve, aortic root, mitral ring, papillary muscle and ventricular septum. Framingham risk score (FRS) was used for CV risk assessment. Results Calcification was detected in 79.4% of patients. The median FRS, echo-CCS, and high-sensitivity C-reactive protein (hs-CRP) levels increased as the KOA grade increased (p<0.05). A one-grade increase in KOA increased the odds of echo-CCS 1-2 group by 5.15 fold (vs. no calcification group) (OR=5.15, p=0.003), while it increased the odds of echo-CCS ≥3 group by 4.61 fold (vs. echo-CCS 1-2 group) (OR=4.61, p=0.003). Median echo-CSS and hs-CRP were higher in the high CV risk group than in the moderate and low CV risk groups. Conclusion The majority of patients with KOA had intracardiac calcification. An increased KOA grade was associated with higher echo-CSS and FRS. These findings indicate that patients with higher grades of KOA may be predisposed to developing subclinical atherosclerosis.

Targeting a Silent Disease: Vascular Calcification in Chronic Kidney Disease

Chronic kidney disease (CKD) patients have a higher risk of developing early cardiovascular disease (CVD). Although vascular calcification (VC) is one of the strongest predictors of CVD risk, its diagnosis among the CKD population remains a serious clinical challenge. This is mainly due to the complexity of VC, which results from various interconnected pathological mechanisms occurring at early stages and at multiples sites, affecting the medial and intimal layers of the vascular tree. Here, we review the most used and recently developed imaging techniques, here referred to as imaging biomarkers, for VC detection and monitoring, while discussing their strengths and limitations considering the specificities of VC in a CKD context. Although imaging biomarkers have a crucial role in the diagnosis of VC, with important insights into CVD risk, circulating biomarkers represent an added value by reflecting the molecular dynamics and mechanisms involved in VC pathophysiological pathways, opening new avenues into the early detection and targeted interventions. We propose that a combined strategy using imaging and circulating biomarkers with a role in multiple VC molecular mechanisms, such as Fetuin-A, Matrix Gla protein, Gla-rich protein and calciprotein particles, should represent high prognostic value for management of CVD risk in the CKD population.

Association of Global Cardiac Calcification with Atrial Fibrillation and Recurrent Stroke in Patients with Embolic Stroke of Undetermined Source

BACKGROUND

Calcium deposits in the heart have been associated with cardiovascular events, mortality, stroke, and atrial fibrillation (AF). However, there is no accepted standard method for scoring cardiac calcifications. Existing methods have also not been validated for the assessment of patients with embolic stroke of undetermined source (ESUS). The aim of this study was to evaluate the association of various cardiac calcification scores with new-onset AF and stroke recurrence in a cohort of patients with ESUS.

METHODS

In this study, 181 consecutive patients with stroke diagnosed with ESUS were identified and evaluated. They were followed for new-onset AF and ischemic stroke recurrence for a median duration of 2.1 years. Various echocardiographic cardiac calcification scores were assessed on transthoracic echocardiography performed during the evaluation of ESUS and subsequently assessed for their relation to AF detection and recurrent stroke. The echocardiographic calcium scores assessed were the (1) global cardiac calcium score (GCCS), (2) echocardiographic calcium score (eCS), (3) echocardiographic calcification score, (4) echocardiographic composite cardiac calcium score, and (5) total heart calcification score. Only two of these scoring schemes, GCCS and eCS, quantified the cardiac calcium burden.

RESULTS

Higher calcium scores as measured by GCCS and eCS were found to be significantly associated with subsequent AF detection as well as recurrent ischemic stroke in patients with ESUS. The association with recurrent stroke remained significant even after adjustment for comorbidities and AF.

CONCLUSIONS

Higher cardiac calcification measured using the GCCS and eCS is independently associated with AF detection and recurrent ischemic stroke in patients with ESUS, and these scores can be useful markers for further risk stratification in patients with ESUS.

Cardiovascular Calcification as a Marker of Increased Cardiovascular Risk and a Surrogate for Subclinical Atherosclerosis: Role of Echocardiography

The risk prediction of future cardiovascular events is mainly based on conventional risk factor assessment by validated algorithms, such as the Framingham Risk Score, the Pooled Cohort Equations and the European SCORE Risk Charts. The identification of subclinical atherosclerosis has emerged as a promising tool to refine the individual cardiovascular risk identified by these models, to prognostic stratify asymptomatic individuals and to implement preventive strategies. Several imaging modalities have been proposed for the identification of subclinical organ damage, the main ones being coronary artery calcification scanning by cardiac computed tomography and the two-dimensional ultrasound evaluation of carotid arteries. In this context, echocardiography offers an assessment of cardiac calcifications at different sites, such as the mitral apparatus (including annulus, leaflets and papillary muscles), aortic valve and ascending aorta, findings that are associated with the clinical manifestation of atherosclerotic disease and are predictive of future cardiovascular events. The aim of this paper is to summarize the available evidence on clinical implications of cardiac calcification, review studies that propose semiquantitative ultrasound assessments of cardiac calcifications and evaluate the potential of ultrasound calcium scores for risk stratification and prevention of clinical events.

Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI

BACKGROUND

Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indications, machine learning has shown promise in making accurate predictions of clinical outcomes. This study aims to predict different intrahospital clinical outcomes in patients undergoing TAVI using a machine learning-based approach. The main clinical outcomes include all-cause mortality, stroke, major vascular complications, paravalvular leakage, and new pacemaker implantations.

METHODS AND RESULTS

The dataset consists of 451 consecutive patients undergoing elective TAVI between February 2014 and June 2016. The applied machine learning methods were neural networks, support vector machines, and random forests. Their performance was evaluated using five-fold nested cross-validation. Considering all 83 features, the performance of all machine learning models in predicting all-cause intrahospital mortality (AUC 0.94-0.97) was significantly higher than both the STS risk score (AUC 0.64), the STS/ACC TAVR score (AUC 0.65), and all machine learning models using baseline characteristics only (AUC 0.72-0.82). Using an extreme boosting gradient, baseline troponin T was found to be the most important feature among all input variables. Overall, after feature selection, there was a slightly inferior performance. Stroke, major vascular complications, paravalvular leakage, and new pacemaker implantations could not be accurately predicted.

CONCLUSIONS

Machine learning has the potential to improve patient selection and risk management of interventional cardiovascular procedures, as it is capable of making superior predictions compared to current logistic risk scores.

Choroidal thickness is associated with cardiovascular risk factors and cardiac health: the Gutenberg Health Study

BACKGROUND

Choroidal thickness is associated with several cardiovascular parameters in case-control studies including patients with manifest disease. So far, it was unclear whether underlying cardiovascular risk factors or the continuum of heart failure may lead to alterations of the choroid. Therefore, our hypothesis was to test in a population-based study, whether choroidal thickness is associated with cardiovascular risk factors and heart disease.

METHODS

A population-based cross-sectional study was carried out in Germany. A comprehensive medical examination including assessment of cardiovascular risk factors, echocardiography and ophthalmological examinations with spectral-domain optical coherence tomography of the choroid was performed. Subfoveal choroidal thickness as well as left ventricular ejection fraction (LVEF) and a surrogate marker for left ventricular end-diastolic pressure (E/e') were measured. Linear regression analyses were carried out to determine the relationship between subfoveal choroidal thickness and age, sex, body mass index, systolic blood pressure, dyslipidemia, HbA1c level, hematocrit, estimated glomerular filtration rate (eGFR), LVEF, E/e' and left ventricular mass index adjusted for ocular parameters.

RESULTS

1.742 subjects (48% females) with a mean age 59.3 ± 10.6 years were included in this study. Mean subfoveal thickness was 252 ± 77 µm (right eyes) and 255 ± 77 µm (left eyes). Unadjusted linear regression analysis revealed that subfoveal choroidal thickness is associated with sex, age, systolic blood pressure, hematocrit, eGFR, left ventricular end-diastolic pressure, left ventricular mass index (all p < 0.001) and dyslipidemia (p = 0.009). Adjusted linear regression only revealed age as associated parameter (p < 0.001).

CONCLUSIONS

We did find evidence for an association between subfoveal choroidal thickness and cardiovascular risk factors which was mediated by aging.